C63 - Computational Techniques; Simulation Modeling

• Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks

  Staff Working Paper 2025-3 Chris Naubert

  I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C61, C63, E, E3, E37, E4, E47
• January 15, 2024

  Mapping out the implications of climate transition risk for the financial system

  Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts

  We develop a new analytical framework to understand the system-wide implications of climate transition risk. When applying this framework to Canadian data, we find that interconnections within the financial sector could amplify the direct effects of climate transition risk on financial entities.

  Content Type(s): Publications, Financial System Hub articles Research Topic(s): Climate change, Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54

• Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

  Staff Discussion Paper 2023-32 Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts

  Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Climate change, Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54

• Simulating Intraday Transactions in the Canadian Retail Batch System

  Staff Working Paper 2023-1 Nellie Zhang

  This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Payment clearing and settlement systems JEL Code(s): C, C6, C63, E, E4, E42, E5, E58

• Improving the Efficiency of Payments Systems Using Quantum Computing

  Staff Working Paper 2022-53 Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh

  We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C6, C61, C63, D, D8, D83, E, E4, E42, E5, E58

• Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

  Staff Working Paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li

  We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1

• Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

  Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley

  Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21

• Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions

  Staff Working Paper 2021-35 Grzegorz Halaj, Sofia Priazhkina

  Our stress-testing tool considers banks under stress that can strategically manage their balance sheets. Using confidential Canadian supervisory data, we assess whether bank behaviour to maximize shareholder value can amplify a hypothetical stress scenario.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Economic models, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C6, C63, C7, C72, G, G2, G21

• A Generalized Endogenous Grid Method for Default Risk Models

  Staff Working Paper 2021-11 Youngsoo Jang, Soyoung Lee

  Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Credit and credit aggregates, Credit risk management JEL Code(s): C, C6, C63, E, E3, E37

• Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds

  Staff Working Paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger

  What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics, Monetary policy communications, Monetary policy framework JEL Code(s): C, C6, C63, E, E5, E52, E58